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Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Extreme Weather Event database over Aotearoa New Zealand

Authors: Kreft Peter; Macara Gregor; Noble Chris; Smith-Trevor Carey; Bodeker Greg; Vishwanathan Gokul;

Extreme Weather Event database over Aotearoa New Zealand

Abstract

The Aotearoa New Zealand (ANZ) Extreme Weather Events (EWE) database (EWE_database_V1.0.0.xlsx) is a comprehensive record of extreme weather events in ANZ. The events listed in this database have been carefully assessed and categorized based on their meteorological significance, considering their rarity and whether they broke records or triggered official weather warnings. Some of the metrics used to classify each event rely on subjective judgment and expert opinions. The database captures meteorologically significant events, including those that have caused substantial damage to properties or led to casualties, and, in some cases, includes supplementary information about their socioeconomic impacts. The information in the EWE database is primarily sourced from the Meteorological Service of New Zealand Ltd (MetService) and the National Institute of Water and Atmospheric Research (NIWA). Additional impact data have been added from various media sources, with insured loss data for some events sourced from the Insurance Council of New Zealand (ICNZ). Note - For more information about the database and the other additional files, please look into the Metadata (Metadata_EWE_V.1.0.0.docx) and the supplementary document (Supplementary document on EWE_V.1.0.0.docx).

The database was created as part of a five-year multidisciplinary research programme funded by the New Zealand Ministry of Business, Innovation, and Employment (MBIE) called Whakahura - Extreme Events and the Emergence of Climate Change (Grant number: RTVU1906) administered through Victoria University of Wellington - Te Herenga Waka, New Zealand.

Related Organizations
Keywords

Database, Extreme weather event, Aotearoa New Zealand

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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